Machine Learning in Chemical Engineering for Future Trends and Recent Applications

Abstract

Machine learning (ML) integration into chemical engineering has become the latest innovation and efficiency. It is transforming how chemical engineers conceive of, tackle and solve the most sophisticated problems, improve processes and take major decisions during manufacture. We’ll take a look at how this synergy is transforming the industry and driving leaps in innovation, as we explore current and forthcoming uses of machine learning in this arena. There is nothing new to the convergence of artificial intelligence and chemical engineering. But in the last few years, the resurgence of interest has resulted in tremendous breakthroughs as more and more data become available and as computational power gets cheaper. Machine learning is becoming an indispensable tool for the chemical engineer from process optimization to predictive maintenance. In this review we seek to provide a high level overview of the current status of machine learning in chemical engineering (wide application across multiple areas), its application in various domains, and its surging potential.